Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Why GM Financial Technology

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

Location: Irving, TX

Work Arrangement: Hybrid – 2 days onsite, 3 days remote per week

Sponsorship Notice: At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.

About the role:

The Senior AI Engineer is a hands‑on technical expert responsible for designing, building, and delivering enterprise‑grade Generative AI capabilities. In this role, you will work across agentic systems, multi‑agent orchestration, Retrieval‑Augmented Generation (RAG) architectures, and modern cloud‑based AI platforms. This role requires strong engineering judgment, fluency in modern AI development patterns, and the ability to collaborate effectively with product, architecture, and platform teams to deliver scalable, compliant, and resilient AI solutions.

In this role, you will:

Design, build, and deliver production‑ready Generative AI solutions, including agentic and multi‑agent systems, RAG pipelines, orchestration frameworks, APIs, microservices, automated pipelines, and testing, with hands‑on contribution in Python, C#, or Java.

Define and standardize AI architecture, patterns, libraries, and development practices, selecting and applying cloud AI solutions aligned with enterprise technology strategy.

Ensure AI solutions are secure, compliant, and responsible by embedding privacy, data governance, auditability, PII protection, risk mitigation, and model evaluation in collaboration with security, legal, compliance, and data governance teams.

Partner with product, architecture, and engineering stakeholders to drive aligned solution direction, predictable delivery, and organization‑wide adoption of AI best practices.

Drive innovation and thought leadership through continuous exploration of emerging Generative AI technologies, experimentation, proof‑of‑concepts, and internal knowledge sharing.

Promote engineering excellence with a production‑first mindset focused on resilience, observability, and operational readiness.

What makes you a dream candidate?

Deep expertise in software engineering, including architecture, development, and testing.

Proven experience delivering production Generative AI applications using agentic architectures, RAG, and orchestration frameworks.

Strong proficiency in Python, with additional experience in C# or Java.

Familiarity with LangChain, LlamaIndex, or similar agent and orchestration frameworks.

Experience designing microservices, APIs, automated deployment pipelines, and scalable distributed systems.

Strong communication skills with the ability to explain and justify technical decisions to technical and non‑technical audiences.

Ability to craft clear deliverables such as diagrams, architecture documents, and other communication materials.

Proactive mindset with strong ownership of engineering tasks and information‑management responsibilities.

Experience:

4-6 years of software engineering experience required

Experience leading technical initiatives or mentoring peers through influence

High school diploma or equivalent expirience required

Experience with OpenAI, Azure OpenAI, LangChain, and vendor‑specific GenAI implementation patterns preferred

Familiarity with cloud‑native AI development preferred

Professional certifications in Generative or Agentic AI preferred

Additional Knowledge and Skills

Working effectively within an AI enabled environment:

Ability to use AI tools (e.g., Microsoft Copilot) to support daily work

Skills in evaluating AI outputs for accuracy, compliance, and bias

Experience integrating AI into workflows to improve efficiency or insights

Familiarity with AI assisted research, summarization, and content generation

Understanding of responsible AI use, including ethics and data protection

Experience with AI assisted software development or automation

Knowledge of prompting techniques to improve output quality

Awareness of emerging GenAI capabilities and limitations

What We Offer : Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture : Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Compensation : Competitive pay and bonus eligibility.

Work Life Balance : Hybrid work environment, 2-days a week in office.